In almartin82/mapvizieR: Visualization and Data Analysis tools for NWEA MAP student data

This vignette illustrates the available report template layouts in templates.R.

require(mapvizieR)

knitr::opts_chunk$set(
  dev = 'svg',
  fig.width = 5,
  fig.height = 3
)

p01 <- grobTree(
  rectGrob(gp=gpar(fill='orange', alpha=0.9)), textGrob('p01')
)
p02 <- grobTree(
  rectGrob(gp=gpar(fill='gray', alpha=0.9)), textGrob('p02')
)
p03 <- grobTree(
  rectGrob(gp=gpar(fill='pink', alpha=0.9)), textGrob('p03')
)
p04 <- grobTree(
  rectGrob(gp=gpar(fill='blue', alpha=0.9)), textGrob('p04')
)
p05 <- grobTree(
  rectGrob(gp=gpar(fill='red', alpha=0.9)), textGrob('p05')
)

template 01

Template 01 is a 2 column grid.

template_01(p01, p02) %>% grid.draw()

template 02

Template 02 is a 3 column grid.

template_02(p01, p02, p03) %>% grid.draw()

template 03

Template 03 is a 2 x 2 column grid.

template_03(p01, p02, p03, p04) %>% grid.draw()

template 04

Template 04 is a 3 column grid, focused on the center, with 2 row grids on each side.

template_04(p01, p02, p03, p04, p05) %>% grid.draw()

template 05

Template 05 is a 2 row grid.

template_05(p01, p02) %>% grid.draw()

template 06

Template 05 is a 2 column grid.

template_06(p01, p02, p03, p04, p05) %>% grid.draw()

almartin82/mapvizieR documentation built on June 3, 2023, 10:53 a.m.